摘要
为量化高速公路路侧景观色彩与驾驶员脑电δ波成分之间的关系,在吉珲高速公路进行道路试验,采集所需数据.首先基于幂函数建立景观色彩值与脑电δ波成分的关系模型,然后考虑驾驶时间对驾驶员脑电δ波的累积影响,基于高斯函数建立驾驶时间与脑电δ波成分的关系模型.最后采用联合建模的方式建立驾驶时间、景观色彩值对脑电δ波成分的影响关系模型.模型分析结果表明:路侧景观色彩均值与驾驶员脑电δ波成分呈负相关,而δ波多在驾驶疲劳时出现,即景观色彩越鲜亮,越能有效避免驾驶疲劳的加剧;驾驶员脑电的δ波成分随着驾驶时间t呈现波动,但是整体仍处于上升趋势,即驾驶员为规避因疲劳导致的行车危险而强制自己处于警醒状态,其自身会存在疲劳与抗拒疲劳的博弈过程.
To quantify the relationship between roadside landscape and 8 wave of driver＇ s EEG signal, real vehicle experiments were conducted in Jilin-Hunchun expressway to collect the required data. Firstly, the relationship model between landscape color and 8 wave component of driver＇ s EEG was developed based on power function. Then considering the cumulative impact of driving time duration on δ wave component, their relationship model was developed based on Gaussian function. Finally, relationship model among driving time duration, landscape color and δ wave was brought forward using joint modeling method. The analysis results of the model show that： the landscape color is negatively correlated with δ wave component, namely the brighter of the landscape color, the lower of driver＇ s fatigue level. There is a fluctuating relationship between driving time and δ wave component of EEG signal and overall 8 wave component would increase with the increase of driving time. Namely the driver will force him in alert state to avoid the driving risks caused by fatigue and there is a game between falling in fatigue and resisting fatigue. The study can provide theoretical foundation for the design of freeway landscape color by considering driving fatigue.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2016年第9期35-40,共6页
Journal of Harbin Institute of Technology
基金
国家自然科学基金(51308251)
中国博士后科学基金(2013M541306)
关键词
交通运输安全工程
高速公路
景观色彩
驾驶时间
δ波成分
traffic and transportation safety engineering
freeway
landscape color
driving time duration
δ wave component
